Machine Learning for Stochastic Parameterization: Generative Adversarial Networks in the Lorenz '96 Model
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Title
Machine Learning for Stochastic Parameterization: Generative Adversarial Networks in the Lorenz '96 Model
Authors
Keywords
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Journal
Journal of Advances in Modeling Earth Systems
Volume 12, Issue 3, Pages -
Publisher
American Geophysical Union (AGU)
Online
2020-02-19
DOI
10.1029/2019ms001896
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- (2014) Günther Zängl et al. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY
- Implementation of a Stochastic Eddy-Diffusivity/Mass-Flux Parameterization into the Navy Global Environmental Model
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